High-precision measurement method and system of electric energy meter

Abstract

The invention discloses a high-precision measurement method and system for an electric energy meter, and relates to the technical field of electric energy meter precision measurement. The high-precision measurement method of the electric energy meter comprises the following steps of precision evaluation data acquisition, load adaptation evaluation judgment, load optimization evaluation judgment and environment adaptation evaluation judgment. According to the method, the load adaptability of the electric energy meter is evaluated to judge whether to execute the load adaptability optimization of the electric energy meter, then the load adaptability optimization effect of the electric energy meter is evaluated, and whether to execute the environment adaptability evaluation of the electric energy meter is judged; and finally, acquiring an electric energy meter environment precision evaluation index after the electric energy meter environment adaptability evaluation is executed, and judging whether to execute electric energy meter calibration self-repairing optimization or not according to the electric energy meter load precision evaluation index and the electric energy meter load optimization index, thereby achieving the effect of improving the stability of the electric energy meter precision measurement process. The problem of low stability of the precision measurement process of the electric energy meter in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy meter precision measurement, and in particular to a high-precision measurement method and system for an electric energy meter. Background Art

[0002] With the rapid development of industrialization, efficient use and accurate measurement of energy have become particularly important in various fields. Especially in industrial production, electricity, as an important energy source, has a direct impact on production costs and energy efficiency. In order to achieve accurate monitoring and optimal management of energy, high-precision measurement methods for energy meters have become the key to research and application. High-precision energy meter measurement for industrial electricity is not only a basic technology for energy metering, but also a key tool for promoting intelligent manufacturing, energy conservation and emission reduction, and optimizing energy use.

[0003] Existing high-precision electricity meter measurements are usually implemented in combination with computer control and data acquisition systems. Specifically, the voltage, current and load conditions are adjusted through the automated control system, while the data acquisition system records the meter readings and errors in real time for data analysis and error correction. In addition, data transmission and remote monitoring can be performed through an intelligent system, thereby realizing remote calibration and adjustment of the electricity meter, and further realizing comprehensive measurement and verification of the meter's accuracy to ensure its accuracy and reliability.

[0004] For example, the patent application with publication number: CN115902758A discloses a method, system, equipment and medium for on-site measurement accuracy inspection of an electric energy meter, including: installing a standard electric energy meter, placing the standard electric energy meter at the inspection site, collecting measurement data of the standard electric energy meter and the measurement data of the electric energy meter under test, selecting a time interval to accumulate the measurement data to obtain the accumulated electricity, and calculating the relative error of the accumulated electricity, and making a stability judgment based on the relative error analysis result.

[0005] For example, the measurement method, device and terminal equipment of the smart electric energy meter announced in the invention patent with announcement number: CN113447881B include: calculating the error value between the first electric energy meter and the second electric energy meter according to the measurement values ​​of the first electric energy meter and the second electric energy meter under multiple temperature and humidity conditions; obtaining the temperature-error fitting curve corresponding to multiple humidity ranges according to the error value between the first electric energy meter and the second electric energy meter; obtaining the real-time measurement value, temperature value and humidity value of the first electric energy meter; determining the target error value corresponding to the temperature value in the temperature-error fitting curve corresponding to the target humidity range according to the humidity value and the temperature value, and determining the target measurement value according to the real-time measurement value and the target error value.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the industrial field, especially in places with high energy consumption such as large factories and mining areas, electric energy meters need to monitor the power consumption of equipment and machines with high precision to ensure energy efficiency management and power consumption control. However, during industrial production, the current load changes dramatically, and industrial electrical equipment may have periodic high-load operation or no-load operation. Especially when the load is light (such as standby or low-speed equipment), the measurement error is easy to increase.

[0008] In addition, it is also necessary to consider that the harmonic interference generated by industrial equipment (such as inverters, motors, etc.) will distort the measurement of the electric energy meter. At the same time, due to the complex environment of industrial electricity use, it also poses a challenge to the measurement stability of the electric energy meter, and there is a problem of low stability in the accuracy measurement process of the electric energy meter. Summary of the invention

[0009] The embodiments of the present application solve the problem of low stability of the precision measurement process of the electric energy meter in the prior art by providing a high-precision measurement method and system for the electric energy meter, thereby improving the stability of the precision measurement process of the electric energy meter.

[0010] The embodiment of the present application provides a high-precision measurement method for an electric energy meter, comprising the following steps: S1, preprocessing the acquired electric energy meter accuracy measurement data to obtain accuracy evaluation data, wherein the accuracy evaluation data includes accuracy evaluation load data and accuracy evaluation electric energy meter data; S2, evaluating the load adaptability of the electric energy meter according to the accuracy evaluation data to obtain an electric energy meter load accuracy evaluation index, and judging whether to perform the electric energy meter load adaptability optimization based on the electric energy meter load accuracy evaluation index, wherein the electric energy meter load accuracy evaluation index is used to quantitatively evaluate the load adaptability of the electric energy meter; S3, when performing the electric energy meter load accuracy evaluation, After the adaptability optimization, the effect of the electric energy meter load adaptability optimization is evaluated to obtain the electric energy meter load optimization index, and based on the electric energy meter load optimization evaluation index, it is determined whether to perform the electric energy meter environmental adaptability evaluation, and the electric energy meter load optimization index is used to quantitatively evaluate the effect of the electric energy meter load adaptability optimization; S4, obtaining the electric energy meter environmental accuracy evaluation index after performing the electric energy meter environmental adaptability evaluation, and determining whether to perform the electric energy meter calibration self-repair optimization based on the electric energy meter load accuracy evaluation index and the electric energy meter load optimization index, and the electric energy meter environmental accuracy evaluation index is used to quantitatively evaluate the environmental adaptability of the electric energy meter.

[0011] Furthermore, the specific steps of evaluating the load adaptability of the electric energy meter according to the accuracy evaluation data to obtain the load accuracy evaluation index of the electric energy meter are as follows: obtaining load accuracy evaluation related values ​​within a preset time interval, the load accuracy evaluation related values ​​including load instantaneous power value, average load power value, load power maximum value, load power minimum value, electric energy meter power change rate, load fluctuation frequency and electric energy meter fluctuation response time; combining the load accuracy evaluation related values ​​with the load accuracy evaluation reference values ​​obtained from a preset database to obtain the load accuracy evaluation index of the electric energy meter, the load accuracy evaluation reference values ​​including load stability evaluation weights, load response evaluation weights, load adaptation evaluation weights, reference load fluctuation minimum value and reference load power deviation.

[0012] Furthermore, the method for obtaining the load accuracy evaluation index of the electric energy meter is as follows:

[0013]

[0014] In the formula, DF represents the load accuracy evaluation index of the electric energy meter, represents the load stability evaluation weight, represents the load response evaluation weight, represents the load adaptation evaluation weight, t represents the number of the preset time in the preset time interval, t=1,2,...,T, T represents the total number of preset time in the preset time interval, represents the instantaneous power value of the load at the tth preset time within the preset time interval, Indicates the average load power value within the preset time interval. Indicates the minimum value of reference load fluctuation, Indicates the maximum load power within the preset time interval. Indicates the minimum load power within the preset time interval. represents the reference load power deviation, Indicates the load fluctuation frequency within a preset time interval. Indicates the energy meter fluctuation response time within the preset time interval. Indicates the power change rate of the energy meter within a preset time interval.

[0015] Furthermore, the specific steps of judging whether to execute the load adaptability optimization of the electric energy meter based on the load accuracy evaluation index of the electric energy meter are as follows: comparing the load accuracy evaluation index of the electric energy meter with the preset load accuracy threshold range obtained from the preset database; if the load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range, the load adaptability optimization of the electric energy meter is not executed, and the accuracy evaluation data and the load accuracy evaluation index of the electric energy meter are uploaded to the cloud storage; if the load accuracy evaluation index of the electric energy meter exceeds the preset load accuracy threshold range, the load adaptability optimization of the electric energy meter is executed, and the effect of the load adaptability optimization of the electric energy meter is evaluated to obtain the load optimization index of the electric energy meter.

[0016] Furthermore, the specific steps of the load adaptability optimization of the electric energy meter are as follows: A1, perform adaptive filtering optimization on the electric energy meter, determine whether the monitored load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range, if so, stop the load adaptability optimization of the electric energy meter, otherwise execute A2; A2, perform dynamic load compensation optimization on the electric energy meter, determine whether the monitored load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range, if so, stop the load adaptability optimization of the electric energy meter, otherwise execute A3; A3, adjust the power factor and optimize the frequency response of the electric energy meter, and evaluate the effect of the load adaptability optimization of the electric energy meter to obtain the load optimization index of the electric energy meter.

[0017] Furthermore, the specific steps for evaluating the effect of the energy meter load adaptability optimization to obtain the energy meter load optimization index are as follows: obtain the energy meter load error to be optimized and the energy meter load accuracy evaluation index to be optimized before executing the energy meter load adaptability optimization; obtain the energy meter load error after optimization and the optimized energy meter load accuracy evaluation index corresponding to the energy meter load adaptability optimization; obtain the energy meter load optimization index according to the energy meter load error to be optimized, the energy meter load accuracy evaluation index to be optimized, the energy meter load error after optimization and the optimized energy meter load accuracy evaluation index combined with the load error optimization evaluation weight and the load accuracy optimization evaluation weight obtained from the preset database.

[0018] Furthermore, the specific steps of judging whether to execute the environmental adaptability evaluation of the electric energy meter based on the load optimization evaluation index of the electric energy meter are as follows: comparing the load optimization index of the electric energy meter with the preset load optimization threshold range obtained from the preset database; if the load optimization index of the electric energy meter is within the preset load optimization threshold range, executing the environmental adaptability evaluation of the electric energy meter, and obtaining the environmental accuracy evaluation index of the electric energy meter after executing the environmental adaptability evaluation of the electric energy meter; if the load optimization index of the electric energy meter exceeds the preset load optimization threshold range, not executing the environmental adaptability evaluation of the electric energy meter, and reminding the preset personnel to perform the self-repair optimization of the load adaptability calibration of the electric energy meter.

[0019] Furthermore, the specific steps of obtaining the environmental accuracy evaluation index of the electric energy meter after executing the environmental adaptability evaluation of the electric energy meter are as follows: obtaining the environmental accuracy measurement value and the environmental accuracy correction value of the electric energy meter within the preset time interval to be evaluated, the environmental accuracy measurement value of the electric energy meter includes the maximum value of the environmental temperature measurement of the electric energy meter, the maximum value of the environmental humidity measurement of the electric energy meter, and the maximum value of the environmental voltage measurement of the electric energy meter, and the environmental accuracy correction value of the electric energy meter includes the minimum correction error of the environmental temperature of the electric energy meter, the maximum correction power of the self-consumption of the electric energy meter, the minimum correction error of the environmental humidity of the electric energy meter, and the minimum correction error of the environmental voltage of the electric energy meter; according to the environmental accuracy measurement value and the environmental adaptability evaluation index of the electric energy meter, ... includes the minimum correction error of the environmental temperature of the electric energy meter, the maximum correction power of the self-consumption of the electric energy meter, the minimum correction error of the environmental humidity of the electric energy meter, and the minimum correction error of the environmental voltage of the electric energy meter; according to the environmental accuracy measurement value and the environmental adaptability evaluation index of the electric energy meter, the environmental accuracy correction value includes the minimum correction error of the environmental temperature of the electric energy meter, the maximum correction power of the self-consumption of the electric energy meter, the The environmental accuracy correction value is combined with the environmental assessment reference data obtained from a preset database to obtain the environmental accuracy assessment index of the electric energy meter; the environmental assessment reference data includes environmental accuracy measurement reference values, environmental accuracy benchmark reference values ​​and environmental accuracy assessment weights; the environmental accuracy measurement reference values ​​include the environmental standard temperature of the electric energy meter, the environmental standard humidity of the electric energy meter and the environmental standard voltage of the electric energy meter; the environmental accuracy benchmark reference values ​​include the environmental temperature reference error of the electric energy meter, the environmental humidity reference error of the electric energy meter and the environmental voltage reference error of the electric energy meter; the environmental accuracy assessment weights include the environmental temperature assessment weight, the environmental humidity assessment weight and the environmental voltage assessment weight.

[0020] The embodiment of the present application provides a high-precision measurement system for an electric energy meter, including: an accuracy assessment data acquisition module, a load adaptation assessment and judgment module, a load optimization assessment and judgment module, and an environment adaptation assessment and judgment module; wherein the accuracy assessment data acquisition module is used to pre-process the acquired electric energy meter accuracy measurement data to obtain accuracy assessment data, and the accuracy assessment data includes accuracy assessment load data and accuracy assessment electric energy meter data; the load adaptation assessment and judgment module is used to evaluate the load adaptability of the electric energy meter according to the accuracy assessment data to obtain an electric energy meter load accuracy assessment index, and judge whether to perform the electric energy meter load adaptability optimization based on the electric energy meter load accuracy assessment index, and the electric energy meter load accuracy assessment index is used to quantitatively evaluate Load adaptability of the electric energy meter; the load optimization evaluation and judgment module is used to evaluate the effect of the load adaptability optimization of the electric energy meter after executing the load adaptability optimization of the electric energy meter to obtain the load optimization index of the electric energy meter, and judge whether to execute the environmental adaptability evaluation of the electric energy meter based on the load optimization evaluation index of the electric energy meter, and the load optimization index of the electric energy meter is used to quantitatively evaluate the effect of the load adaptability optimization of the electric energy meter; the environmental adaptability evaluation and judgment module is used to obtain the environmental accuracy evaluation index of the electric energy meter after executing the environmental adaptability evaluation of the electric energy meter, and judge whether to execute the calibration self-repair optimization of the electric energy meter according to the load accuracy evaluation index of the electric energy meter and the load optimization index of the electric energy meter, and the environmental accuracy evaluation index of the electric energy meter is used to quantitatively evaluate the environmental adaptability of the electric energy meter.

[0021] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0022] 1. The load adaptability of the electric energy meter is evaluated to determine whether to perform the load adaptability optimization of the electric energy meter, and then the effect of the load adaptability optimization of the electric energy meter is evaluated to determine whether to perform the environmental adaptability evaluation of the electric energy meter. Finally, the environmental accuracy evaluation index of the electric energy meter after the environmental adaptability evaluation of the electric energy meter is obtained to determine whether to perform the calibration self-repair optimization of the electric energy meter, thereby realizing the evaluation and optimization of the load adaptability and environmental adaptability of the electric energy meter, and then realizing the improvement of the stability of the precision measurement process of the electric energy meter, which effectively solves the problem of low stability of the precision measurement process of the electric energy meter in the prior art.

[0023] 2. By obtaining the load accuracy assessment related values ​​within the preset time interval, and combining the load accuracy assessment related values ​​with the load accuracy assessment reference values ​​obtained from the preset database, the load accuracy assessment index of the electric energy meter is obtained, thereby realizing the numerical evaluation of the load adaptability of the electric energy meter, and further realizing a more accurate evaluation of the load adaptability of the electric energy meter.

[0024] 3. By obtaining the environmental accuracy measurement value and the environmental accuracy correction value of the electric energy meter within the preset time interval to be evaluated, and then combining the environmental accuracy measurement value and the environmental accuracy correction value of the electric energy meter with the environmental assessment reference data obtained from the preset database, the environmental accuracy evaluation index of the electric energy meter is obtained, thereby realizing the numerical evaluation of the environmental adaptability of the electric energy meter, and further realizing a more accurate evaluation of the environmental adaptability of the electric energy meter. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A flow chart of a high-precision measurement method for an electric energy meter provided in an embodiment of the present application;

[0026] FIG2 is a schematic diagram of the change of the environmental accuracy evaluation index of the electric energy meter provided in the embodiment of the present application, wherein FIG2(a) is a schematic diagram of the change of the environmental accuracy evaluation index of the electric energy meter with the maximum corrected power of the electric energy meter self-consumption, and FIG2(b) is a schematic diagram of the change of the environmental accuracy evaluation index of the electric energy meter with the minimum corrected error of the ambient temperature of the electric energy meter;

[0027] Figure 3 A schematic diagram of the structure of a high-precision measurement system for an electric energy meter provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The embodiment of the present application solves the problem of low stability of the accuracy measurement process of the electric energy meter in the prior art by providing a high-precision measurement method and system for the electric energy meter. The accuracy evaluation data is obtained by preprocessing the acquired accuracy measurement data of the electric energy meter, and then the load adaptability of the electric energy meter is evaluated according to the accuracy evaluation data to obtain the load accuracy evaluation index of the electric energy meter. Based on the load accuracy evaluation index of the electric energy meter, it is determined whether to perform the load adaptability optimization of the electric energy meter. Then, the effect of the load adaptability optimization of the electric energy meter is evaluated to obtain the load optimization index of the electric energy meter and determine whether to perform the environmental adaptability evaluation of the electric energy meter. Finally, the environmental accuracy evaluation index of the electric energy meter after the environmental adaptability evaluation of the electric energy meter is obtained. Based on the load accuracy evaluation index of the electric energy meter and the load optimization index of the electric energy meter, it is determined whether to perform the self-repair optimization of the calibration of the electric energy meter, thereby improving the stability of the accuracy measurement process of the electric energy meter.

[0029] The technical solution in the embodiment of the present application is to solve the problem of low stability in the precision measurement process of the above-mentioned electric energy meter, and the overall idea is as follows:

[0030] The load adaptability of the electric energy meter is evaluated to determine whether to perform the load adaptability optimization of the electric energy meter, and then the effect of the load adaptability optimization of the electric energy meter is evaluated to determine whether to perform the environmental adaptability evaluation of the electric energy meter. Finally, the environmental accuracy evaluation index of the electric energy meter after the environmental adaptability evaluation of the electric energy meter is obtained, and it is determined whether to perform the electric energy meter calibration self-repair optimization, thereby achieving the effect of improving the stability of the electric energy meter accuracy measurement process.

[0031] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0032] like Figure 1As shown, it is a flow chart of a high-precision measurement method for an electric energy meter provided in an embodiment of the present application, the method comprising the following steps: S1, pre-processing the acquired electric energy meter accuracy measurement data to obtain accuracy evaluation data, the accuracy evaluation data comprising accuracy evaluation load data and accuracy evaluation electric energy meter data; S2, evaluating the load adaptability of the electric energy meter according to the accuracy evaluation data to obtain an electric energy meter load accuracy evaluation index, judging whether to perform the electric energy meter load adaptability optimization based on the electric energy meter load accuracy evaluation index, the electric energy meter load accuracy evaluation index being used to quantitatively evaluate the load adaptability of the electric energy meter; S3, in executing After the load adaptability of the electric energy meter is optimized, the effect of the load adaptability optimization of the electric energy meter is evaluated to obtain the load optimization index of the electric energy meter. Based on the load optimization evaluation index of the electric energy meter, it is determined whether to perform the environmental adaptability evaluation of the electric energy meter. The load optimization index of the electric energy meter is used to quantitatively evaluate the effect of the load adaptability optimization of the electric energy meter. S4, the environmental accuracy evaluation index of the electric energy meter after the environmental adaptability evaluation of the electric energy meter is obtained. According to the load accuracy evaluation index of the electric energy meter and the load optimization index of the electric energy meter, it is determined whether to perform the calibration self-repair optimization of the electric energy meter. The environmental accuracy evaluation index of the electric energy meter is used to quantitatively evaluate the environmental adaptability of the electric energy meter.

[0033] In this embodiment, the accuracy assessment load data includes the accuracy assessment load power and the load fluctuation frequency; specifically, the accuracy assessment load power is obtained through a smart meter, the accuracy assessment load power is used to describe the load power in the accuracy assessment process of the electric energy meter, and the load fluctuation frequency is obtained through frequency analysis data such as an oscilloscope.

[0034] Among them, the accuracy assessment electric energy meter data includes the electric energy meter fluctuation response time and the electric energy meter power change rate; specifically, the electric energy meter fluctuation response time is obtained through the smart meter, and the electric energy meter power change rate is obtained by taking the derivative of the load power with respect to time through the accuracy assessment.

[0035] It should be understood that preprocessing includes data cleaning and data smoothing; data cleaning is used to identify missing values ​​through visualization tools (such as heat maps) and fill in missing values ​​through interpolation methods, such as the mean interpolation method to calculate the mean of the column containing missing values ​​and replace the missing values ​​in the column with the mean; data smoothing is used to smooth the accuracy measurement data of the electricity meter through simple moving average.

[0036] By preprocessing the acquired electric energy meter accuracy measurement data, the reliability of the electric energy meter accuracy measurement process data is improved, thereby achieving an improvement in the accuracy of load adaptability evaluation in the electric energy meter accuracy measurement.

[0037] Furthermore, the specific steps of evaluating the load adaptability of the electric energy meter according to the accuracy evaluation data to obtain the load accuracy evaluation index of the electric energy meter are as follows: obtaining load accuracy evaluation related values ​​within a preset time interval, the load accuracy evaluation related values ​​including load instantaneous power value, average load power value, load power maximum value, load power minimum value, electric energy meter power change rate, load fluctuation frequency and electric energy meter fluctuation response time; combining the load accuracy evaluation related values ​​with the load accuracy evaluation reference values ​​obtained from a preset database to obtain the load accuracy evaluation index of the electric energy meter, the load accuracy evaluation reference values ​​including load stability evaluation weights, load response evaluation weights, load adaptation evaluation weights, reference load fluctuation minimum value and reference load power deviation.

[0038] The method for obtaining the load accuracy evaluation index of the electric energy meter is as follows:

[0039]

[0040] In the formula, Indicates the load accuracy evaluation index of the electric energy meter, represents the load stability evaluation weight, represents the load response evaluation weight, represents the load adaptation evaluation weight, Indicates the number of the preset time in the preset time interval, , Indicates the total number of preset moments in a preset time interval. represents the instantaneous power value of the load at the tth preset time within the preset time interval, Indicates the average load power value within the preset time interval. Indicates the minimum value of reference load fluctuation, Indicates the maximum load power within the preset time interval. Indicates the minimum load power within the preset time interval. represents the reference load power deviation, Indicates the load fluctuation frequency within a preset time interval. Indicates the energy meter fluctuation response time within the preset time interval. Indicates the power change rate of the energy meter within a preset time interval.

[0041] In this embodiment, the average load power value is obtained through the statistical toolbox in MATLAB (such as mean(data)), and the maximum load power and the minimum load power are obtained through the statistical toolbox in MATLAB (such as max(data), min(data)).

[0042] The minimum value of the reference load fluctuation is represented by the collected historical load fluctuation minimum value (i.e., the integral value of the square of the difference between the average load power and the corresponding average load power in a preset time interval), and the reference load power deviation is represented by summing and averaging the difference between the collected historical load power and the standard load power.

[0043] The load stability assessment weight is a numerical value preset in a preset database that represents the degree of influence of the load stability of the electric energy meter on the load accuracy assessment index of the electric energy meter. It can be directly obtained from the preset database when used. For example, the load stability of the electric energy meter and the weights corresponding to the load stability assessment preset in the preset database form a mapping set, and the real-time load stability of the electric energy meter is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0044] The load response evaluation weight is a numerical value preset in a preset database that represents the degree of influence of the electric energy meter load response on the electric energy meter load accuracy evaluation index. The corresponding relationship can be a preset mapping relationship. For example, the electric energy meter load response and the weights corresponding to the load response evaluation preset in the preset database form a mapping set, and the real-time electric energy meter load response is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0045] In this example, the sum of the load stability assessment weight, the load response assessment weight, and the load adaptation assessment weight is 1. The load adaptation assessment weight is used to describe the degree of influence of the load fluctuation adaptation of the electric energy meter on the load accuracy assessment index of the electric energy meter.

[0046] The load accuracy evaluation index of the electric energy meter is used to quantitatively evaluate the load adaptability of the electric energy meter. Specifically, the load accuracy evaluation index of the electric energy meter includes parameters in multiple aspects, and the various parameters are related to each other and do not exist independently. For example, as the instantaneous power value of the load increases, the response speed of the electric energy meter increases accordingly, that is, the power change rate of the electric energy meter increases accordingly; in addition, as the load fluctuation frequency increases, the high-frequency fluctuating load makes it more difficult for the electric energy meter to respond in a timely and accurate manner, thereby increasing the fluctuation response time of the electric energy meter. As the fluctuation response time of the electric energy meter increases, the error increases, thereby reducing the load accuracy evaluation index of the electric energy meter; therefore, the correlation and mutual influence between various factors are considered, and the load accuracy evaluation index of the electric energy meter is obtained through comprehensive analysis, which realizes the numerical evaluation of the load adaptability of the electric energy meter. The load adaptability of the electric energy meter is judged through numerical evaluation, thereby realizing a more accurate evaluation of the load adaptability of the electric energy meter.

[0047] Furthermore, the specific steps for determining whether to execute the load adaptability optimization of the electric energy meter based on the load accuracy evaluation index of the electric energy meter are as follows: compare the load accuracy evaluation index of the electric energy meter with the preset load accuracy threshold range obtained from the preset database; if the load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range, the load adaptability optimization of the electric energy meter is not executed, and the accuracy evaluation data and the load accuracy evaluation index of the electric energy meter are uploaded to the cloud storage; if the load accuracy evaluation index of the electric energy meter exceeds the preset load accuracy threshold range, the load adaptability optimization of the electric energy meter is executed, and the effect of the load adaptability optimization of the electric energy meter is evaluated to obtain the load optimization index of the electric energy meter.

[0048] In this embodiment, specifically, the preset load accuracy threshold range is set by professionals according to standards in the field, for example, the preset load accuracy threshold range is set to 0.66 to 1; by combining the preset load accuracy threshold range for judgment and optimizing the load adaptability of the electric energy meter, a more accurate judgment of the load adaptability of the electric energy meter is achieved.

[0049] Furthermore, the specific steps of optimizing the load adaptability of the electric energy meter are as follows: A1, adaptive filtering optimization is performed on the electric energy meter to determine whether the monitored load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range. If so, the load adaptability optimization of the electric energy meter is stopped, otherwise A2 is executed; A2, dynamic load compensation optimization is performed on the electric energy meter to determine whether the monitored load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range. If so, the load adaptability optimization of the electric energy meter is stopped, otherwise A3 is executed; A3, power factor adjustment and frequency response optimization are performed on the electric energy meter, and the effect of the load adaptability optimization of the electric energy meter is evaluated to obtain the load optimization index of the electric energy meter.

[0050] In this embodiment, the adaptive filtering optimization of the electric energy meter is realized by the minimum mean square error algorithm and the recursive least squares algorithm. For example, the coefficient of the filter is adjusted by minimizing the error between the output signal and the expected signal; the dynamic load compensation optimization is realized by the PID (Proportional-Integral-Derivative Control) control algorithm. For example, the reactive power is adjusted to improve the power factor by adjusting the capacitor or inductor element; the power factor is adjusted by using the PWM (Pulse Width Modulation) modulation technology (by adjusting the output current of the inverter to make it consistent with the phase of the grid voltage, thereby reducing the reactive power and improving the power factor), and the frequency response optimization is realized by the fast Fourier transform. For example, the spectrum analysis of the measurement signal of the electric energy meter is performed using the fast Fourier transform to identify the frequency component of the signal; and the load adaptability optimization is realized to improve the reliability of the precision measurement under the condition of abnormal load adaptability of the electric energy meter.

[0051] Furthermore, the specific steps for evaluating the effect of the energy meter load adaptability optimization to obtain the energy meter load optimization index are as follows: obtain the energy meter load error to be optimized and the energy meter load accuracy evaluation index to be optimized before executing the energy meter load adaptability optimization; obtain the energy meter load error after optimization and the optimized energy meter load accuracy evaluation index corresponding to the energy meter load adaptability optimization; combine the energy meter load error to be optimized, the energy meter load accuracy evaluation index to be optimized, the energy meter load error after optimization and the optimized energy meter load accuracy evaluation index with the load error optimization evaluation weight and the load accuracy optimization evaluation weight obtained from the preset database to obtain the energy meter load optimization index.

[0052] The method for obtaining the load optimization index of the electric energy meter is as follows:

[0053] ;

[0054] In the formula, Indicates the load optimization index of the energy meter, represents the load error optimization evaluation weight, represents the load accuracy optimization evaluation weight, represents the load error to be optimized of the electric energy meter at the t-th preset time within the preset time interval, It represents the optimized error of the electric energy meter load at the t-th preset time within the preset time interval, Represents the load accuracy evaluation index of the optimized energy meter, Indicates the load accuracy evaluation index of the electric energy meter to be optimized. Indicates the number of the preset time in the preset time interval, , Indicates the total number of preset moments in the preset time interval.

[0055] In this embodiment, the energy meter load error to be optimized refers to the energy meter load error before the energy meter load adaptability optimization is performed, and the energy meter load error is obtained by the difference between the energy meter load reading and the standard load value; the energy meter load accuracy evaluation index to be optimized refers to the energy meter load accuracy evaluation index before the energy meter load adaptability optimization is performed.

[0056] The energy meter load optimization error refers to the energy meter load error after the energy meter load adaptability optimization is performed, and the optimized energy meter load accuracy evaluation index refers to the energy meter load accuracy evaluation index after the energy meter load adaptability optimization is performed.

[0057] The load error optimization evaluation weight is used to describe the influence of the load error optimization of the electric energy meter on the load optimization index of the electric energy meter. It is a preset value in the preset database. For example, the load error optimization of the electric energy meter and the weight corresponding to the load error optimization evaluation preset in the preset database form a mapping set. The real-time load error optimization of the electric energy meter is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0058] In this example, the sum of the load error optimization evaluation weight and the load accuracy optimization evaluation weight is 1, and the load accuracy optimization evaluation weight reflects the influence of the load accuracy optimization of the electric energy meter on the load optimization index of the electric energy meter.

[0059] Specific assumptions: the load error optimization evaluation weight is 0.5, the load accuracy optimization evaluation weight is 0.5, the load accuracy evaluation index of the electric energy meter to be optimized is 0.6, and the total number of preset moments in the preset time interval is 1; the load optimization index of the electric energy meter can be calculated by the above method, and the change statistics of the load optimization index of the electric energy meter are shown in Table 1:

[0060] Table 1 Statistics of changes in load optimization index of electric energy meters

[0061]

[0062] It can be seen from the first and second groups of data in Table 1 that when the optimized electric energy meter load accuracy evaluation index (0.80) and the electric energy meter load error to be optimized (0.5) are fixed values, as the error of the electric energy meter load after optimization decreases, the electric energy meter load optimization index increases accordingly; in addition, as can be seen from the third and fourth groups of data, as the optimized electric energy meter load accuracy evaluation index increases, the electric energy meter load optimization index also increases accordingly.

[0063] The energy meter load optimization index is used to quantitatively evaluate the effect of energy meter load adaptability optimization. Among them, the changes in the energy meter load error to be optimized, the energy meter load error after optimization, and the energy meter load accuracy evaluation index after optimization all directly lead to changes in the energy meter load optimization index. Specifically, for example, as the energy meter load accuracy evaluation index increases after optimization, the energy meter load optimization index increases accordingly. In addition, the energy meter load optimization index includes parameters in multiple aspects, and each parameter is related to each other and does not exist independently. For example, as the error after energy meter load optimization decreases, it shows that load optimization enhances the load adaptability of the energy meter, that is, the energy meter load accuracy evaluation index increases accordingly after optimization. Considering the correlation and mutual influence between various factors, the energy meter load optimization index is obtained through comprehensive analysis, which realizes the numerical evaluation of the energy meter load adaptability optimization effect. The energy meter load adaptability optimization effect is judged through numerical evaluation, thereby realizing a more accurate evaluation of the energy meter load adaptability optimization effect.

[0064] Furthermore, the specific steps for determining whether to execute the environmental adaptability evaluation of the electric energy meter based on the electric energy meter load optimization evaluation index are as follows: compare the electric energy meter load optimization index with the preset load optimization threshold range obtained from the preset database; if the electric energy meter load optimization index is within the preset load optimization threshold range, execute the environmental adaptability evaluation of the electric energy meter, and at the same time obtain the environmental accuracy evaluation index of the electric energy meter after executing the environmental adaptability evaluation of the electric energy meter; if the electric energy meter load optimization index exceeds the preset load optimization threshold range, do not execute the environmental adaptability evaluation of the electric energy meter, and at the same time remind the preset personnel to perform the self-repair optimization of the load adaptability calibration of the electric energy meter.

[0065] In this embodiment, specifically, the preset load optimization threshold range is set by professionals according to standards in the field. For example, the error range of the electric energy meter load to be optimized (generally 0.5 to 1), the error range of the electric energy meter load after optimization (generally 0 to 0.5), the optimized electric energy meter load accuracy evaluation index range (generally 0.8 to 1) and the electric energy meter load accuracy evaluation index range to be optimized (generally 0.4 to 0.7) are set to determine the preset load optimization threshold range; by making a judgment in combination with the preset load optimization threshold range, a more accurate judgment of the electric energy meter load adaptability optimization effect is achieved.

[0066] Furthermore, the specific steps for obtaining the environmental accuracy evaluation index of the electric energy meter after executing the environmental adaptability evaluation of the electric energy meter are as follows: obtaining the environmental accuracy measurement value and the environmental accuracy correction value of the electric energy meter within the preset time interval to be evaluated, the environmental accuracy measurement value of the electric energy meter includes the maximum value of the environmental temperature measurement of the electric energy meter, the maximum value of the environmental humidity measurement of the electric energy meter and the maximum value of the environmental voltage measurement of the electric energy meter, and the environmental accuracy correction value of the electric energy meter includes the minimum correction error of the environmental temperature of the electric energy meter, the maximum correction power of the self-consumption of the electric energy meter, the minimum correction error of the environmental humidity of the electric energy meter and the minimum correction error of the environmental voltage of the electric energy meter; according to the environmental accuracy measurement value and the environmental accuracy correction value of the electric energy meter The environmental accuracy correction value is combined with the environmental assessment reference data obtained from a preset database to obtain the environmental accuracy assessment index of the electric energy meter; the environmental assessment reference data include environmental accuracy measurement reference values, environmental accuracy benchmark reference values ​​and environmental accuracy assessment weights; environmental accuracy measurement reference values ​​include the environmental standard temperature of the electric energy meter, the environmental standard humidity of the electric energy meter and the environmental standard voltage of the electric energy meter; the environmental accuracy benchmark reference values ​​include the environmental temperature reference error of the electric energy meter, the environmental humidity reference error of the electric energy meter and the environmental voltage reference error of the electric energy meter; the environmental accuracy assessment weights include the environmental temperature assessment weight, the environmental humidity assessment weight and the environmental voltage assessment weight.

[0067] The method for obtaining the environmental accuracy evaluation index of the electric energy meter is as follows:

[0068] ;

[0069] In the formula, Represents the environmental accuracy evaluation index of the electric energy meter, Indicates the maximum corrected self-consumption power of the electric energy meter within the preset time interval to be evaluated. Indicates the self-consumption power of the electric energy meter. represents the ambient temperature assessment weight, Indicates the maximum value of the ambient temperature of the energy meter within the preset time interval to be evaluated. Indicates the standard temperature of the energy meter environment. Indicates the minimum correction error of the ambient temperature of the energy meter within the preset time interval to be evaluated. Indicates the ambient temperature reference error of the energy meter. represents the environmental humidity assessment weight, Indicates the maximum value of the ambient humidity measured by the energy meter within the preset time interval to be evaluated. Indicates the standard humidity of the energy meter environment. Indicates the minimum correction error of the ambient humidity of the electric energy meter within the preset time interval to be evaluated. Indicates the ambient humidity reference error of the energy meter. represents the environmental voltage assessment weight, Indicates the maximum value of the ambient voltage measured by the energy meter within the preset time interval to be evaluated. Indicates the environmental standard voltage of the energy meter. Indicates the minimum correction error of the ambient voltage of the energy meter within the preset time interval to be evaluated. Indicates the ambient voltage reference error of the energy meter.

[0070] In this embodiment, the preset time interval to be evaluated refers to the preset time interval before executing the environmental adaptability evaluation of the electric energy meter; wherein, the ambient temperature measurement value, ambient humidity measurement value and ambient voltage measurement value of the electric energy meter are obtained by means of the temperature sensor, humidity sensor and voltmeter deployed on the input end of the electric energy meter, and the self-consumption corrected power of the electric energy meter is obtained by means of the power meter; the maximum self-consumption corrected power of the electric energy meter, the maximum value of the ambient temperature measurement of the electric energy meter, the maximum value of the ambient humidity measurement of the electric energy meter and the maximum value of the ambient voltage measurement of the electric energy meter are obtained by means of the statistical toolbox in MATLAB (such as max(data)).

[0071] The minimum correction error of the ambient temperature of the energy meter, the minimum correction error of the ambient humidity of the energy meter and the minimum correction error of the ambient voltage of the energy meter are obtained by taking the difference between the reading of the energy meter and the standard reading under the measured value of the ambient temperature of the energy meter, the measured value of the ambient humidity of the energy meter and the measured value of the ambient voltage of the energy meter.

[0072] The energy meter ambient temperature reference error is represented by summing and averaging the collected historical minimum corrected errors of the energy meter ambient temperature. The energy meter ambient humidity reference error is represented by summing and averaging the collected historical minimum corrected errors of the energy meter ambient humidity. The energy meter ambient voltage reference error is represented by summing and averaging the collected historical minimum corrected errors of the energy meter ambient voltage.

[0073] The ambient temperature assessment weight reflects the degree of influence of the ambient temperature on the environmental accuracy assessment index of the electric energy meter. When in use, the weight corresponding to the preset ambient temperature assessment can be directly obtained from the preset database. The corresponding relationship can be a pre-set mapping relationship. For example, the ambient temperature and the weight corresponding to the preset ambient temperature assessment in the preset database form a mapping set, and the real-time ambient temperature is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0074] The environmental humidity assessment weight reflects the influence of the environmental humidity on the environmental accuracy assessment index of the electricity meter. It can be directly obtained from the preset database when used. For example, the environmental humidity and the weights corresponding to the environmental humidity assessment preset in the preset database form a mapping set, and the real-time environmental humidity is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0075] In this example, the sum of the ambient temperature assessment weight, the ambient humidity assessment weight, and the ambient voltage assessment weight is 1. The ambient voltage assessment weight is used to describe the degree of influence of the ambient voltage on the environmental accuracy assessment index of the electric energy meter.

[0076] As shown in Figure 2, it is a schematic diagram of the change of the environmental accuracy evaluation index of the electric energy meter provided in the embodiment of the present application, wherein the following settings are set: the environmental temperature evaluation weight is 0.3, the environmental humidity evaluation weight is 0.3, the environmental voltage evaluation weight is 0.4, the electric energy meter self-consumption power is 350W, the maximum value of the environmental temperature measurement of the electric energy meter is 30 degrees Celsius, the environmental standard temperature of the electric energy meter is 25 degrees Celsius, the environmental temperature reference error of the electric energy meter is 1 (%℃), the maximum value of the environmental humidity measurement of the electric energy meter is 60 (%), the environmental standard humidity of the electric energy meter is 50 (%), the minimum correction error of the environmental humidity of the electric energy meter is 5 (%RH), the environmental humidity reference error of the electric energy meter is 3 (%RH), the maximum value of the environmental voltage measurement of the electric energy meter is 220V, and the environmental The standard voltage is 220V, the minimum correction error of the ambient voltage of the energy meter is 6 (%V), and the reference error of the ambient voltage of the energy meter is 5 (%V); Figure 2 (a) is a schematic diagram of the change of the environmental accuracy evaluation index of the energy meter with the maximum corrected power of the energy meter self-consumption. Specifically, the minimum correction error of the ambient temperature of the energy meter is set to 2 (%℃). As the maximum corrected power of the self-consumption of the energy meter increases, the environmental accuracy evaluation index of the energy meter decreases accordingly; Figure 2 (b) is a schematic diagram of the change of the environmental accuracy evaluation index of the energy meter with the minimum correction error of the ambient temperature of the energy meter. Specifically, the maximum corrected power of the self-consumption of the energy meter is set to 200W. As the minimum correction error of the ambient temperature of the energy meter increases, the environmental accuracy evaluation index of the energy meter also decreases accordingly.

[0077] The environmental accuracy evaluation index of the electric energy meter is used to quantitatively evaluate the environmental adaptability of the electric energy meter. Specifically, the environmental accuracy evaluation index of the electric energy meter includes parameters from multiple aspects, and the various parameters are related to each other and do not exist independently. For example, with the increase of the maximum value of the electric energy meter's ambient temperature measurement, it is usually accompanied by an increase in the maximum value of the electric energy meter's ambient humidity measurement. As the ambient temperature and ambient humidity change, the maximum corrected power of the electric energy meter's self-consumption also increases; in addition, the change in voltage has a direct impact on the accuracy of the electric energy meter. With the increase of the maximum value of the electric energy meter's ambient voltage measurement, the electric energy meter's measurement deviation increases, that is, the minimum corrected error of the electric energy meter's ambient voltage increases, which in turn causes the electric energy meter's environmental accuracy evaluation index to decrease. Therefore, through a quantitative approach, the correlation and mutual influence between various factors are taken into account, and the environmental accuracy evaluation index of the electric energy meter is obtained through a comprehensive analysis, which realizes the numerical evaluation of the environmental adaptability of the electric energy meter. The environmental adaptability of the electric energy meter is judged through numerical evaluation, thereby achieving the improvement of the accuracy of the environmental adaptability evaluation of the electric energy meter.

[0078] Furthermore, the specific steps for determining whether to execute the self-repair optimization of the electric energy meter calibration according to the load accuracy evaluation index of the electric energy meter and the load optimization index of the electric energy meter are as follows: M1, determine whether the obtained load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range. If the load accuracy evaluation index of the electric energy meter exceeds the preset load accuracy threshold range, execute M2, otherwise, do not execute the self-repair optimization of the electric energy meter calibration; M2, determine whether the obtained load optimization index of the electric energy meter is within the preset load optimization threshold range. If the wind vane monitoring performance compliance index is within the preset monitoring performance compliance threshold range, execute M3, otherwise, execute the self-repair optimization of the load adaptability calibration of the electric energy meter; M3, determine whether the obtained environmental accuracy evaluation index of the electric energy meter is within the preset environmental accuracy threshold range. If the environmental accuracy evaluation index of the electric energy meter is within the preset environmental accuracy threshold range, do not execute the self-repair optimization of the electric energy meter calibration, otherwise, execute the self-repair optimization of the environmental adaptability calibration of the electric energy meter; the self-repair optimization of the electric energy meter calibration includes the self-repair optimization of the load adaptability calibration of the electric energy meter and the self-repair optimization of the environmental adaptability calibration of the electric energy meter.

[0079] In this embodiment, the self-repair optimization of the load adaptability calibration of the electric energy meter is achieved through an adaptive load correction algorithm (for example, the measurement value of the electric energy meter is corrected through a Kalman filter algorithm); the self-repair optimization of the environmental adaptability calibration of the electric energy meter is achieved through an environmental self-repair algorithm (for example, voltage compensation is performed through a particle filter); wherein the preset environmental accuracy threshold range is obtained from a preset database, specifically, the preset environmental accuracy threshold range is set by professionals according to standards in the field, for example, the preset environmental accuracy threshold range is set to 0.6 to 1; by making a judgment in combination with the preset environmental accuracy threshold range, a more accurate judgment of the environmental adaptability evaluation of the electric energy meter is achieved.

[0080] like Figure 3As shown, it is a structural schematic diagram of a high-precision measurement system of an electric energy meter provided in an embodiment of the present application. A high-precision measurement system of an electric energy meter provided in an embodiment of the present application includes: an accuracy evaluation data acquisition module, a load adaptation evaluation judgment module, a load optimization evaluation judgment module, and an environment adaptation evaluation judgment module; wherein the accuracy evaluation data acquisition module is used to preprocess the acquired electric energy meter accuracy measurement data to obtain accuracy evaluation data, and the accuracy evaluation data includes accuracy evaluation load data and accuracy evaluation electric energy meter data; the load adaptation evaluation judgment module is used to evaluate the load adaptability of the electric energy meter according to the accuracy evaluation data to obtain the electric energy meter load accuracy evaluation index, and judge whether to perform the electric energy meter load adaptability optimization based on the electric energy meter load accuracy evaluation index, The load accuracy evaluation index of the electric energy meter is used to quantitatively evaluate the load adaptability of the electric energy meter; the load optimization evaluation and judgment module is used to evaluate the effect of the load adaptability optimization of the electric energy meter after executing the load adaptability optimization of the electric energy meter to obtain the load optimization index of the electric energy meter, and judge whether to execute the environmental adaptability evaluation of the electric energy meter based on the load optimization evaluation index of the electric energy meter. The load optimization index of the electric energy meter is used to quantitatively evaluate the effect of the load adaptability optimization of the electric energy meter; the environmental adaptability evaluation and judgment module is used to obtain the environmental accuracy evaluation index of the electric energy meter after executing the environmental adaptability evaluation of the electric energy meter, and judge whether to execute the calibration self-repair optimization of the electric energy meter according to the load accuracy evaluation index of the electric energy meter and the load optimization index of the electric energy meter. The environmental accuracy evaluation index of the electric energy meter is used to quantitatively evaluate the environmental adaptability of the electric energy meter.

[0081] In this embodiment, the accuracy evaluation data is obtained by preprocessing the acquired accuracy measurement data of the electric energy meter, thereby achieving evaluation and optimization of the load adaptability and environmental adaptability of the electric energy meter, thereby achieving improvement in the accuracy measurement quality of the electric energy meter.

[0082] To summarize, the embodiment of the present application evaluates the load adaptability of the electric energy meter to determine whether to perform the load adaptability optimization of the electric energy meter, then evaluates the effect of the load adaptability optimization of the electric energy meter to determine whether to perform the environmental adaptability evaluation of the electric energy meter, and finally obtains the environmental accuracy evaluation index of the electric energy meter after performing the environmental adaptability evaluation of the electric energy meter to determine whether to perform the self-repair optimization of the electric energy meter calibration, thereby realizing the evaluation and optimization of the load adaptability and environmental adaptability of the electric energy meter, and further realizing the improvement of the stability of the precision measurement process of the electric energy meter, effectively solving the problem of low stability of the precision measurement process of the electric energy meter in the prior art.

[0083] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0084] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0085] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0086] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0087] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0088] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A high-precision measurement method for an electric energy meter, characterized in that: The following steps are involved: S1, preprocessing the acquired electric energy meter accuracy measurement data to obtain accuracy evaluation data, wherein the accuracy evaluation data includes accuracy evaluation load data and accuracy evaluation electric energy meter data; S2, evaluating the load adaptability of the electric energy meter according to the accuracy evaluation data to obtain an electric energy meter load accuracy evaluation index, and judging whether to perform the electric energy meter load adaptability optimization based on the electric energy meter load accuracy evaluation index, wherein the electric energy meter load accuracy evaluation index is used to quantitatively evaluate the load adaptability of the electric energy meter; S3, after performing the optimization of the load adaptability of the electric energy meter, evaluating the effect of the optimization of the load adaptability of the electric energy meter to obtain an electric energy meter load optimization index, and judging whether to perform the environmental adaptability evaluation of the electric energy meter based on the electric energy meter load optimization evaluation index, wherein the electric energy meter load optimization index is used to quantitatively evaluate the effect of the optimization of the load adaptability of the electric energy meter; S4, obtaining the environmental accuracy evaluation index of the electric energy meter after executing the environmental adaptability evaluation of the electric energy meter, and judging whether to execute the electric energy meter calibration self-repair optimization according to the electric energy meter load accuracy evaluation index and the electric energy meter load optimization index, wherein the electric energy meter environmental accuracy evaluation index is used to quantitatively evaluate the environmental adaptability of the electric energy meter.

2. A high-precision measurement method for an electric energy meter as claimed in claim 1, characterized in that: The specific steps of evaluating the load adaptability of the electric energy meter according to the accuracy evaluation data to obtain the load accuracy evaluation index of the electric energy meter are as follows: Obtaining load accuracy assessment related values ​​within a preset time interval, wherein the load accuracy assessment related values ​​include load instantaneous power value, average load power value, load maximum power value, load minimum power value, electric energy meter power change rate, load fluctuation frequency, and electric energy meter fluctuation response time; The load accuracy assessment related values ​​are combined with the load accuracy assessment reference values ​​obtained from a preset database to obtain the load accuracy assessment index of the electric energy meter, wherein the load accuracy assessment reference values ​​include load stability assessment weights, load response assessment weights, load adaptation assessment weights, reference load fluctuation minimum value, and reference load power deviation.

3. A high-precision measurement method for an electric energy meter as claimed in claim 2, characterized in that: The method for obtaining the load accuracy evaluation index of the electric energy meter is as follows: In the formula, Indicates the load accuracy evaluation index of the electric energy meter, represents the load stability evaluation weight, represents the load response evaluation weight, represents the load adaptation evaluation weight, Indicates the number of the preset time in the preset time interval, , Indicates the total number of preset moments in a preset time interval. represents the instantaneous power value of the load at the tth preset time within the preset time interval, Indicates the average load power value within the preset time interval. Indicates the minimum value of reference load fluctuation, Indicates the maximum load power within the preset time interval. Indicates the minimum load power within the preset time interval. represents the reference load power deviation, Indicates the load fluctuation frequency within a preset time interval. Indicates the energy meter fluctuation response time within the preset time interval. Indicates the power change rate of the energy meter within a preset time interval.

4. A high-precision measurement method for an electric energy meter as claimed in claim 1, characterized in that: The specific steps of judging whether to perform the power meter load adaptability optimization based on the power meter load accuracy evaluation index are as follows: comparing the load accuracy evaluation index of the electric energy meter with a preset load accuracy threshold range obtained from a preset database; If the load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range, the load adaptability optimization of the electric energy meter is not performed, and the accuracy evaluation data and the load accuracy evaluation index of the electric energy meter are uploaded to the cloud storage; If the load accuracy evaluation index of the electric energy meter exceeds the preset load accuracy threshold range, the load adaptability optimization of the electric energy meter is performed, and the effect of the load adaptability optimization of the electric energy meter is evaluated to obtain the load optimization index of the electric energy meter.

5. A high-precision measurement method for an electric energy meter as claimed in claim 4, characterized in that: The specific steps of optimizing the load adaptability of the electric energy meter are as follows: A1, perform adaptive filtering optimization on the electric energy meter to determine whether the monitored load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range. If so, stop the load adaptability optimization of the electric energy meter, otherwise execute A2; A2, perform dynamic load compensation optimization on the electric energy meter, determine whether the monitored load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range, if so, stop the load adaptability optimization of the electric energy meter, otherwise execute A3; A3, the power factor of the electric energy meter is adjusted and the frequency response is optimized, and the effect of the load adaptability optimization of the electric energy meter is evaluated to obtain the load optimization index of the electric energy meter.

6. A high-precision measurement method for an electric energy meter as claimed in claim 4, characterized in that: The specific steps of evaluating the effect of the energy meter load adaptability optimization to obtain the energy meter load optimization index are as follows: Obtaining the error of the electric energy meter load to be optimized and the accuracy evaluation index of the electric energy meter load to be optimized before performing adaptive optimization of the electric energy meter load; Obtain the post-optimization error of the electric energy meter load and the post-optimization electric energy meter load accuracy evaluation index corresponding to the execution of the electric energy meter load adaptability optimization; The energy meter load optimization index is obtained by combining the energy meter load error to be optimized, the energy meter load accuracy evaluation index to be optimized, the energy meter load error after optimization and the energy meter load accuracy evaluation index after optimization with the load error optimization evaluation weight and the load accuracy optimization evaluation weight obtained from the preset database.

7. A high-precision measurement method for an electric energy meter as claimed in claim 1, characterized in that: The specific steps of judging whether to perform the environmental adaptability evaluation of the electric energy meter based on the load optimization evaluation index of the electric energy meter are as follows: comparing the load optimization index of the electric energy meter with a preset load optimization threshold range obtained from a preset database; If the load optimization index of the electric energy meter is within the preset load optimization threshold range, the environmental adaptability evaluation of the electric energy meter is performed, and at the same time, the environmental accuracy evaluation index of the electric energy meter after the environmental adaptability evaluation of the electric energy meter is obtained; If the load optimization index of the electric energy meter exceeds the preset load optimization threshold range, the environmental adaptability assessment of the electric energy meter will not be performed, and the preset personnel will be reminded to perform self-repair optimization of the load adaptability calibration of the electric energy meter.

8. A high-precision measurement method for an electric energy meter as claimed in claim 7, characterized in that: The specific steps of obtaining the environmental accuracy evaluation index of the electric energy meter after performing the environmental adaptability evaluation of the electric energy meter are as follows: Obtaining an environmental accuracy measurement value and an environmental accuracy correction value of an electric energy meter within a preset time interval to be evaluated, wherein the environmental accuracy measurement value of the electric energy meter includes a maximum value of an environmental temperature measurement of the electric energy meter, a maximum value of an environmental humidity measurement of the electric energy meter, and a maximum value of an environmental voltage measurement of the electric energy meter, and the environmental accuracy correction value of the electric energy meter includes a minimum correction error of an environmental temperature of the electric energy meter, a maximum correction power of self-consumption of the electric energy meter, a minimum correction error of an environmental humidity of the electric energy meter, and a minimum correction error of an environmental voltage of the electric energy meter; The environmental accuracy evaluation index of the electric energy meter is obtained by combining the environmental accuracy measurement value of the electric energy meter and the environmental accuracy correction value of the electric energy meter with the environmental evaluation reference data obtained from the preset database; The environmental assessment reference data includes an environmental accuracy measurement reference value, an environmental accuracy benchmark reference value, and an environmental accuracy assessment weight; The environmental accuracy measurement reference values ​​include the electric energy meter environmental standard temperature, the electric energy meter environmental standard humidity and the electric energy meter environmental standard voltage; The environmental accuracy benchmark reference value includes an environmental temperature reference error of the electric energy meter, an environmental humidity reference error of the electric energy meter, and an environmental voltage reference error of the electric energy meter; The environmental accuracy evaluation weights include an environmental temperature evaluation weight, an environmental humidity evaluation weight, and an environmental voltage evaluation weight.

9. A high-precision measurement method for an electric energy meter as claimed in claim 1, characterized in that: The specific steps of judging whether to perform the self-repair optimization of the electric energy meter calibration according to the electric energy meter load accuracy evaluation index and the electric energy meter load optimization index are as follows: M1, judging whether the obtained load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range, if the load accuracy evaluation index of the electric energy meter exceeds the preset load accuracy threshold range, executing M2, otherwise, not executing the electric energy meter calibration self-repair optimization; M2, judging whether the obtained load optimization index of the electric energy meter is within the preset load optimization threshold range, if the wind vane monitoring performance compliance index is within the preset monitoring performance compliance threshold range, executing M3, otherwise, executing the electric energy meter load adaptability calibration self-repair optimization; M3, judging whether the obtained environmental accuracy evaluation index of the electric energy meter is within the preset environmental accuracy threshold range, if the environmental accuracy evaluation index of the electric energy meter is within the preset environmental accuracy threshold range, then the electric energy meter calibration self-repair optimization is not performed, otherwise, the environmental adaptability calibration self-repair optimization of the electric energy meter is performed; The electric energy meter calibration self-repair optimization includes the electric energy meter load adaptability calibration self-repair optimization and the electric energy meter environment adaptability calibration self-repair optimization.

10. A high-precision measurement system for an electric energy meter, characterized in that: include: Accuracy assessment data acquisition module, load adaptation assessment and judgment module, load optimization assessment and judgment module, and environment adaptation assessment and judgment module; The accuracy assessment data acquisition module is used to preprocess the acquired electric energy meter accuracy measurement data to obtain accuracy assessment data, wherein the accuracy assessment data includes accuracy assessment load data and accuracy assessment electric energy meter data; The load adaptability evaluation and judgment module is used to evaluate the load adaptability of the electric energy meter according to the accuracy evaluation data to obtain the load accuracy evaluation index of the electric energy meter, and judge whether to perform the load adaptability optimization of the electric energy meter based on the load accuracy evaluation index of the electric energy meter, and the load accuracy evaluation index of the electric energy meter is used to quantitatively evaluate the load adaptability of the electric energy meter; The load optimization evaluation and judgment module is used to evaluate the effect of the load adaptability optimization of the energy meter after executing the load adaptability optimization of the energy meter to obtain the load optimization index of the energy meter, and judge whether to execute the environmental adaptability evaluation of the energy meter based on the load optimization evaluation index of the energy meter, and the load optimization index of the energy meter is used to quantitatively evaluate the effect of the load adaptability optimization of the energy meter; The environmental adaptability assessment judgment module is used to obtain the environmental accuracy assessment index of the electric energy meter after executing the environmental adaptability assessment of the electric energy meter, and to judge whether to execute the electric energy meter calibration self-repair optimization according to the electric energy meter load accuracy assessment index and the electric energy meter load optimization index. The electric energy meter environmental accuracy assessment index is used to quantitatively evaluate the environmental adaptability of the electric energy meter.

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